Staff Engineer, Generative AI

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry‑leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Analyzes structured and unstructured data to extract insights, build predictive models, and test hypotheses that improve operational decision‑making.
• Design, develop and validate AI and ML‑based models for supply chain use cases (e.g., lead time prediction, inventory optimization, demand forecast prediction).
• Design and build analytics tools to help supply chain and operations meet short and long‑term objectives.
• Conduct proof of concept, proof of technology, and root‑cause analysis on supply chain disruptions or inefficiencies using data wrangling and visualization.
• Experience in process re‑engineering and making them more agile to address the dynamic business needs.
• Lead workshops to drive requirement gathering, solution discussion and testing.
• Drive new solutions that can be implemented cross‑functionally.

• PHD in Operations Research or Master’s degree in Industrial Engineering, Supply Chain and Operations.
• Understanding and implementation of supply chain planning systems and processes.
• 1‑3 years of work experience in data‑science projects in Supply Chain and Operations.
• Good knowledge of AI/ML and experience in creating models based on AI/ML.

• Effective interpersonal skills, ability to influence others, drive new initiatives and ways of thinking in the organization.
• Understanding of future business strategies and directions to implement processes and systems.
• Strong understanding of supply‑chain concepts and experience in supply‑chain planning.

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender‑related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics.

We also prohibit harassment of any individual on any of the characteristics listed above. Our non‑discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights:
Workplace Discrimination is Illegal" poster. Our pay transparency policy is available here.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for…